Imagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled ...

The Discovery and New Frontiers in Research Fund programs support world-leading innovation in the sciences and engineering.

Automating the analysis portion of materials characterization by electron microscopy (EM) has the potential to accelerate the process of scientific discovery. To this end, we present a Bayesian ...

This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

Improving clinical trial interpretability and efficiency: A Bayesian re-analysis of individual patient outcomes from 230 phase III oncology trials.

The analysis of relevant literature shows that the occurrence of heart failure is affected by a variety of factors, and the Bayesian method has significant advantages in dealing with uncertainty and ...

Methods: This paper establishes an internal corrosion probability prediction model for shale gas pipelines using a Bayesian network model combined with common cause failure analysis. Results and ...

We propose this technical briefing on "Bayesian Data Analysis for Software Engineering" (BDA-SE) for ICSE 2021. Given the broad and growing interest for statistical data analysis throughout the ...

Humans estimate different forms of uncertainty during learning, but do so imprecisely, leading to the misattribution of random fluctuations as fundamental shifts.

Frequentist and Bayesian statistics represent two differing paradigms for the analysis of data. Frequentism became the dominant mode of statistical thinking in medical practice during the 20th century ...